🐍 🔉 | Audio convolution with python
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Updated
Sep 20, 2021 - Python
🐍 🔉 | Audio convolution with python
Transform audio streams into animated desktop visuals with AudioVisual-DeskShapes. This Python tool captures sound through PyAudio and animates shapes on the desktop using Tkinter, merging audio analysis with visual art.
basic implementation of a channel vocoder in order to imitate Daft Punk's robotic voice
Megafy allows you to quickly customize audio files.
A music auto-ducker for Linux built with Python
Vinyl record playback noise from physical simulations
A networking-inspired approach to finding the optimal playback speed
Simple audio transcription module
PyQt5 applet to launch audio effects without latency, can be used as a plugin for xcape.io Room.
The Open Source Smash Tournament 1v1 randomizer with customizable "versus" voice implementer!
AudioRounder is a Python tool for rounding audio files to the nearest minute through speed adjustments.
This project is a Python-based audio simulation tool that uses Pyroomacoustics and Pydub to create realistic room acoustics effects. It allows users to load an audio file, simulate the sound in a 3D room environment, and either save the processed audio to a file or play it back directly.
A Python toolkit for transforming images into circular visuals and creating real-time, audio-reactive visualizations with Tkinter and PIL.
Easily integrate Airwindows effects into any application, without VST or AU frameworks, just like any other external library
Algorhythm is a Python application that allows you to create various randomized sounds using waveform generators and effects via code. With Algorhythm, you can create unique and experimental sound effects based on predefined algorithms combined with a degree of randomness.
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
A Digital Signal Processing library based on MTG/essentia
A GUI-based audio player based on the discord bot https://github.com/thomas-xin/Miza, as well as visualisers based on https://github.com/thomas-xin/SpectralPulse
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